Real-time social group based bidding system

ABSTRACT

There are provided a system, a method and a computer program product for creating the social group whose participants are involved in an online conversation. The system aggregates data associated with the online conversation and a group profile, of the social group. The system determines, based on the online conversation data and the group profile, a context of the online conversation and a goal of the social group. The system receives, based on the determined context and the goal, a first bidding from each provider, the first bidding associated with the determined context and the goal, the each provider providing one or more of: goods, services or discounts associated with the context and the goal.

BACKGROUND

This disclosure relates generally to a bidding process, and particularlyto a bidding process for a social network group.

BACKGROUND OF THE INVENTION

A social network refers to a computing service provided by one or morehosting server devices. Via the social network, users can share theirthoughts, feelings, and pictures, e.g., via postings, comments, instantmessages, texts, emails, etc. Nowadays, users can communicate inreal-time via an online chat application installed in their smartphones.Via the online chat application, the users can form a group. The usersin the group can communicate in real-time via the online chatapplication.

SUMMARY

There are provided a system, a method and a computer program product forcreating the social group whose participants are involved in an onlineconversation. In one embodiment, the system aggregates data associatedwith the online conversation and a group profile, of the social group.The system determines, based on the online conversation data and thegroup profile, a context of the online conversation and a goal of thesocial group. The system receives, based on the determined context andthe goal, a first bidding from each provider, the first biddingassociated with the determined context and the goal, the each providerproviding one or more of: goods, services or discounts associated withthe context and the goal.

In order to determine the context and the goal of the social group, thesystem analyzes, by using a natural language processing, the onlineconversation data and the group profile.

In one embodiment, a method for a bidding process for a social groupcomprises creating the social group whose participants are involved inan online conversation. Data associated with the online conversation anda group profile, of the social group is aggregated. A context of theonline conversation and a goal of the social group determining, based onthe online conversation data and the group profile are determined. Oneor more first biddings from one or more providers are received, based onthe determined context and the goal. The first biddings are associatedwith the determined context and the goal. The one or more providersprovide one or more of: goods, services or discounts associated with thecontext and the goal.

In one embodiment, a computer program product for a bidding process fora social group, comprises a computer readable storage medium. Thecomputer readable storage medium is readable by a processing circuit andstores instructions run by the processing circuit. The instructionscreate the social group whose participants are involved in an onlineconversation. The instructions aggregate data associated with the onlineconversation and a group profile, of the social group. The instructionsdetermine, based on the online conversation data and the group profile,a context of the online conversation and a goal of the social group. Theinstructions receive, based on the determined context and the goal, oneor more first biddings from one or more providers. The first biddingsare associated with the determined context and the goal. The one or moreproviders provide one or more of: goods, services or discountsassociated with the context and the goal.

BRIEF DESCRIPTION OF THE DRAWINGS

These and other objects, features and advantages of the presentinvention will become apparent from the following detailed descriptionof illustrative embodiments thereof, which is to be read in connectionwith the accompanying drawings, in which:

FIG. 1 illustrates a flowchart that describes a method for a biddingprocess for a social group in one embodiment;

FIG. 2 illustrates exemplary hardware configurations for performingmethods shown in FIG. 1 and FIG. 4 in one embodiment;

FIG. 3 illustrates a system diagram for a bidding process for a socialgroup in one embodiment;

FIG. 4 illustrates a flowchart that describes a method for a biddingprocess in on embodiment; and

FIGS. 5-9 illustrate an example scenario that employs the flowchart inFIG. 1 and/or FIG. 4 in one embodiment.

DETAILED DESCRIPTION

A computing system (e.g., a computing system shown in FIG. 2; a serverdevice hosing a social network) accesses profiles of users in the socialnetwork and further accesses real-time or stored online conversationdata between those users. A profile of a social network user includes,but is not limited to: (1) an email address of the user; (2) a birthdate of the user; (3) a mailing address of the user, etc. Onlineconversation data includes, but is not limited to: (a) an online chathistory; (b) current real-time online chat data; (c) an online textinghistory; (d) current real-time online texting data; (e) an onlineinstant messaging history; (f) current real-time online instantmessaging data, etc. The profiles and the conversation data may bestored, e.g., in a data storage device of a server device hosting thesocial network. Companies may use these profiles and conversation datain order to advertise and/or to offer discounts targeted to a particularuser(s) who are engaged in an online conversation (or onlinecollaboration) as described below.

For instance, assume that a group of co-workers are chatting, via asocial network, about where they'd like to go for lunch. They maydiscuss specific kinds of food or specific names of restaurants. Thecomputing system (e.g., the server device hosting the social network,etc.) can provide opportunities to these restaurants (or theircompetitors) to offer immediate discounts or offers to this group. Inorder to provide these discounts or offers, the computing system mayembed a real-time online bidding or a real-time online auction, whichare provided from the restaurants, into the chatting being occurred inthe social network. The computing system may embed the online bidding orthe online auction into a data stream of an online social media (e.g.,an online texting application, etc.) or a current online discussion or acurrent online forum. The social media, the online discussion or theonline forum may include one or more real-time participants and mayoffer one or more group deals. In order to offer the group deals, thecomputing system determines a subject or keyword of the data stream, thecurrent discussion or the current forum, e.g., by using a contentanalysis technique or text mining technique or a natural languageprocessing technique. The computing system transmits, via one or morenetworks, the subject or keyword to service providers (or providers ofgoods). The service providers transmit the one or more group dealsassociated with the subject or keyword. Upon receiving the transmittedgroup deal, the computing system embeds the group deal in the datastream, the current online discussion or the current online forum. Agroup (or subgroup) of the participants accepts one group deal among theone or more group deals, e.g., by choosing a group deal that the mostparticipants accept. The acceptance of the one group deal may alsodepend on the number of bidders, e.g., the service providers. The morebidders there exist in the online bidding or the online auction, themore group deals there exist in the online bidding or the onlineauction.

FIG. 1 illustrates a flowchart that describes a method for a biddingprocess for a social group in one embodiment. FIG. 3 illustrates asystem 300 for the bidding process for the social group in oneembodiment. The computing system may implement the system 300, e.g., byrunning a method shown in FIGS. 1 and/or 4 which are described below indetail. At 100 in FIG. 1, a discussion analyzer (e.g., a discussionanalyzer 310 shown in FIG. 3) creates a social group whose participantsare involved in an online conversation, based on one or more selectionsof members of the group which are made by one or more participants. Forexample, in order to create an online social group, a user selects oneor more users who are registered in a same online social network asmembers. Those users may list themselves as friends (“contacts”) in thesocial network. “Friends” refer to herein members in the social networkto whom a user wants to share interests, thoughts or feelings, e.g., viapostings, comments or instant messaging. In order to initiate an onlinesocial group conversation (e.g., an online conversation 525 shown inFIG. 5), a user may select “initiate a group talk” button (not shown) orthe like provided by the social network. Then, that user may choose oneor more users (or “friends”) in the social network in order to have areal-time online chat as a social group.

At 110 in FIG. 1, the discussion analyzer accesses and aggregates dataassociated with the online conversation and/or a group profile, of thesocial group, which may be available in the server device which hoststhe social network. The social group profile includes, but is notlimited to: an accumulation of individual profiles of the participants;an online conversation history of one or more of the participants. Theaggregation of the online conversation data and the group profileincludes, but is not limited to: (1) the online conversation dataitself; (2) metadata associated with the online conversation data; (3)data representing each time and date at which the online conversationoccurred; (4) data representing interests of the group; (5) dataassociated with social network postings made by one or more participantsin the social group; and (6) data representing a location(s) of one ormore participant in the social group, etc.

At 120 in FIG. 1, the discussion analyzer determines a context (e.g., asocial group context 315 shown in FIG. 3) of the online conversation anda goal of the social group and a need of the social group, e.g., byrunning a content analysis or a natural language processing over theaggregation of the conversation data and the group profile. For example,by running a natural language processing or a content analysis overcurrent real-time online conversation data (which may occur byexchanging texts) of the social group, the discussion analyzer obtains akeyword or a subject or a summary of the current real-time onlineconversation data. The keyword, the subject or the summary may representthe context, the goal or the need of the social group.

At 130 in FIG. 1, a social auctioneer (i.e., the server device hostingthe social network at which the online conversation occurs; e.g., socialauctioneer 305 shown in FIG. 3) receives, based on the determinedcontext and the goal, one or more first biddings (e.g., offers 340 shownin FIG. 3) from one or more providers (e.g., providers 360-370 shown inFIG. 3), e.g., via a group bidding system 355 shown in FIG. 3. The oneor more providers may register in the group bidding system in order totransmit one or more group deals to the social group. The group biddingsystem may have a plurality of classes, each of which lists a pluralityof providers specialized for one or more services, goods, etc. Eachclass may represent a particular goods or service. Each class mayinclude one or more providers who supply corresponding particular goodsor service. Providers in a class, which corresponds to the keyword orthe subject or the summary, determine the first biddings. Thoseproviders provide one or more of: goods, services or discountsassociated with the context and the goal and the need of the socialgroup. For example, if the keyword or the subject of the onlineconversation data includes “lunch” and “restaurant,” the socialauctioneer may search the group bidding system which may include a classof providers registered to provide luncheon service. The socialauctioneer may contact, e.g., via an instant messaging, the luncheonservice providers registered in the group bidding system. The luncheonservice providers transmit the first biddings to the social auctioneer,which is the middle man between the social group and the luncheonservice providers. In one embodiment, each provider transmits one firstbidding to the social auctioneer. The social auctioneer embeds thetransmitted first biddings to the online conversation of the socialgroup (e.g., a social group 345, shown in FIG. 3, participated to theonline conversation) in real-time. The first biddings from the one ormore providers include, but are not limited to: (1) one or more offersfor the goods, the services or the discounts, related to the context,the goal and/or the need; and (2) one or more advertisement(s) ordiscount offer(s), related to the context, the goal and/or the need,etc.

In one embodiment, the social auctioneer (e.g., the social network usedby the participants in order to have the online conversation, etc.)embeds the first biddings into the online conversation as shown in FIG.8. In FIG. 8, the social auctioneer 305 embeds the first biddings 810,815 and 820 in the online conversation 825. As shown in FIG. 8, thesocial auctioneer 305 presents each offer (e.g., first biddings 810, 815and 820) to a social group (user 1, user 2, user 3, and user 4) within asame discussion thread (e.g., the online conversation 525), e.g., byusing embedded experience which allows the social auctioneer to insertcontents to one or more software applications.

FIG. 4 illustrates another flowchart that describes method steps for abidding process for a social group in one embodiment. FIG. 3 illustratesthe system 300 for this bidding process for the social group in oneembodiment. At 400 in FIG. 4, the discussion analyzer monitors an onlineconversation which is being occurred in a social network, e.g., by usinga software application that captures or intercepts corresponding datastreams (e.g., data streams 302 shown in FIG. 3 which may encode texts(or audio data) being exchanged during the online conversation), e.g.,from smartphones. At 405 in FIG. 4, the discussion analyzer aggregates(e.g., collects, etc.) data included in the monitored onlineconversation, e.g., the online conversation data described above. At 410in FIG. 4 and at 320 in FIG. 3, the discussion analyzer establishes asocial network group which may include participants of the onlineconversation. At 315 in FIG. 3, the discussion analyzer determines thecontext, the goal and/or the need of the social network group, e.g., byrunning a natural language processing technique or a content analysistechnique over the online conversation data. At 325 in FIG. 3, thediscussion analyzer provides the context, the goal and/or the need ofthe social network group to the social auctioneer. At 330 in FIG. 3 andat 415-420 in FIG. 4, the discussion analyzer notifies the socialauctioneer that the social network group requests a bidding processassociated with the context, the goal and/or the need. The socialauctioneer requests offers (i.e., the first biddings) from providers whoare listed on the group bidding system as providers of the servicesand/or goods associated with the context, the goal and/or the need. At425 in FIG. 4, the providers deliver the offers to the social networkgroup. For example, the providers transmit the offers to the socialauctioneer, e.g., by sending data, which represent the offers, from theproviders to the social auctioneer. The social auctioneer displays thedata representing the offers during the online conversation in real-timeto the social network group, e.g., via smartphones or display devicesused by the participants of the social group.

The social auctioneer may further receive one or more second biddingsfrom one or more of the providers registered in the group biddingsystem. The one or more second biddings may outbid one or more of thefirst biddings. Upon receiving the one or more second biddings, thesocial auctioneer may notify other providers, who did not tender thesecond biddings, that the one or more of the providers offered thesecond biddings. The social auctioneer provides an opportunity to theother providers to offer second biddings. The social auctioneer presentsthe first biddings and all the second biddings from providers whooffered any second bidding. The social auctioneer and/or one or more ofthe participants in the social group requests third biddings from theproviders who tendered the first biddings and/or the second biddings.

Each participant (or one or more participants) of the social group maychoose (e.g., accepts 335 shown in FIG. 3) one of all the biddings,which include the first biddings and the second biddings and the thirdbiddings, e.g., as shown in 900 in FIG. 9. The social auctioneercollects each chosen bidding. For example, each participant (or one ormore participants) of the social group selects a bidding as his/herchoice, e.g., by selecting an “accept” button of the chosen bidding asshown at 900 in FIG. 9. The server device, which hosts the socialnetwork which acts as the social auctioneer, receives data representingthat a corresponding participant(s) chose particular bidding(s), e.g.,via one or more communication network(s). The social auctioneerdetermines a bidding, among the collected chosen biddings, which ischosen by the most participants in the social group. The socialauctioneer transmits, based on the determined bidding, a request for apayment for the determined bidding and a coupon (e.g., an offer 815shown in FIG. 9) associated with the determined bidding to eachparticipant (or one or more participants randomly chosen) in the socialgroup. Validity of the coupon may be subject to a total number of theparticipants in the social group. For example, if the number ofparticipants in the social group is less than a particular number, aprovider which issued the coupon may not accept (i.e., does notvalidate) the coupon. In another embodiment, if the number ofparticipants, who finally join an event associated with the coupon, isless than a particular number, that provider may not accept the coupon.The social auctioneer provides each participant in the onlineconversation with an option to select whether to participate inreceiving one or more offers (e.g., offers 810-820 shown in FIG. 8) fromthe providers, choosing one or more of the offers as shown at 900 inFIG. 9, and transmitting his/her choice, e.g., by sending datarepresenting the choice to the social auctioneer.

FIGS. 5-9 illustrate an example scenario that employs the method shownin FIG. 1 or FIG. 4. In FIG. 5, the server device (e.g., a computingsystem shown in FIG. 2) hosting the social network tracks and aggregatesa real-time online conversation 525 between users 500-520 in a socialnetwork. In FIG. 6, the discussion analyzer 310 determines a commoncontext and goal 315 of the conversation. The discussion analyzerestablishes a social group 345 which represents the context and the goaland whose members include the users. The discussion analyzer mayestablish the social group in real-time based on the very current need(e.g., lunch). The need may reflect a social aspect of peer pressure(i.e., a social effect that encourages the users to change theirbehaviors to comply with a standard or a decision of the social group).The social auctioneer 305 receives data representing the social group345. In FIGS. 7-8, based on that context, the goal and/or the need, thesocial auctioneer initiates a real-time bidding interaction 700 betweenservice/goods providers and the individuals, e.g., by using an embeddedexperience technique in order to embed a real-time bidding process 800into the online conversation 525. Through this real-time bidding, thesocial network or affiliate provides the bidding process for goods orservices to the users. The service/goods providers may receive one ormore anonymous requests for a better offer 825 from one or more of theusers. The service/goods providers provide competitive bids or discounts810-820 to the users. In FIG. 9, one or more of the users or a majorityof the users accept 900 a bid or discount among the provided bids ordiscounts 810-820.

By employing the method shown in FIG. 1 and/or FIG. 4, the providers mayincrease a likelihood of sale of their goods and/or services. The socialnetwork provides a means for the social group to collaborate ideas orthoughts of users in the social group. The social network provides anin-place bidding system, e.g., by embedding a bidding process in areal-time online conversation, to users in the social network. Thesocial group looks at those offers/discounts in real-time, makes adecision (e.g., chooses a bid, etc.) in real-time, and buy acorresponding coupon associated with the group decision in real-time.

The providers, which include winning bidder and losing bidders,advertise goods and/or services to the users in the social network. Thesocial network aggregates users' profiles and conversation contents toprovide opportunities to businesses for a real-time bidding and/or tooffer targeted advertising and discounts (e.g., advertising and/ordiscounts associated with a keyword or subject of the conversationcontents) to a group of corresponding social network users. The methodshown in FIG. 1 and/or FIG. 4 allows companies to deliver offers, on thefly, to users engaged in an online conversation, whose profile meets(targeted) criteria of advertisements of the companies. The socialnetwork determines the need(s) of a social network group, e.g., byrunning a natural language processing over the conversation contents.Based on that need(s), the social network proceeds a bidding processwith users in the social network group which participates in the biddingprocess as a group.

In one embodiment, a computing system may run the method illustrated inFIGS. 1 and 4. FIG. 2 illustrates examples of the computing system.Examples of the computing system may include, but are not limited to: aparallel computing system 200 including at least one processor 255 andat least one memory device 270, a mainframe computer 205 including atleast one processor 256 and at least one memory device 271, a desktopcomputer 210 including at least one processor 257 and at least onememory device 272, a workstation 215 including at least one processor258 and at least one memory device 273, a tablet computer 220 includingat least one processor 256 and at least one memory device 274, a netbookcomputer 225 including at least one processor 260 and at least onememory device 275, a smartphone 230 including at least one processor 261and at least one memory device 276, a laptop computer 235 including atleast one processor 262 and at least one memory device 277, a physicalserver 240 including at least one processor 261 and at least one memorydevice 278, a software server 280, e.g., web server, HTTP server,application server, or a wearable computer 285, e.g., smartwatch, etc.,including at least one processor 290 and at least one memory device 295.

In one embodiment, the methods shown in FIGS. 1 and 4 may be implementedas hardware on a reconfigurable hardware, e.g., FPGA (Field ProgrammableGate Array) or CPLD (Complex Programmable Logic Device), by using ahardware description language (Verilog, VHDL, Handel-C, or System C). Inanother embodiment, the methods shown in FIGS. 1 and 4 may beimplemented on a semiconductor chip, e.g., ASIC (Application-SpecificIntegrated Circuit), by using a semi custom design methodology, i.e.,designing a semiconductor chip using standard cells and a hardwaredescription language.

In one embodiment, the system 300 shown in FIG. 3 may be implemented ashardware on a reconfigurable hardware, e.g., FPGA (Field ProgrammableGate Array) or CPLD (Complex Programmable Logic Device), by using ahardware description language (Verilog, VHDL, Handel-C, or System C). Inanother embodiment, the system 300 shown in FIGS. 1 and 4 may beimplemented on a semiconductor chip, e.g., ASIC (Application-SpecificIntegrated Circuit), by using a semi custom design methodology, i.e.,designing a semiconductor chip using standard cells and a hardwaredescription language.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

While the invention has been particularly shown and described withrespect to illustrative and preformed embodiments thereof, it will beunderstood by those skilled in the art that the foregoing and otherchanges in form and details may be made therein without departing fromthe spirit and scope of the invention which should be limited only bythe scope of the appended claims.

What is claimed is:
 1. A method for a bidding process for a socialgroup, the method comprising: creating the social group whoseparticipants are involved in an online conversation; aggregating dataassociated with the online conversation and a group profile of thesocial group; determining, based on the online conversation data and thegroup profile data, a context of the online conversation and a goal ofthe social group; embedding in real time, in response to determining thecontext of the online conversation and the goal of the social group, arequest to initiate a real-time bidding interaction in a data stream ofthe online conversation, wherein content of the request to initiate thereal-time bidding interaction is inserted into a discussion threadinline with the online conversation of the social group; presenting on auser interface of a display device, the discussion thread in real-timewith the inserted request to initiate the real-time bidding interactionand selectable elements enabling the participants of the social group torespond to the request to initiate the real-time bidding interaction;receiving, in response to the request to initiate the real-time biddinginteraction, a real-time response from the participants of the socialgroup; requesting, as a result of the real-time response from theparticipants of the social group, biddings from at least one provider ofgoods, services, discounts, and advertisements associated with thedetermined context of the online conversation and the goal of the socialgroup; receiving, in response to the request for biddings from the atleast one provider, at least one first bidding from the at least oneprovider, the at least one first bidding associated with the determinedcontext of the online conversation and the goal of the social group, theat least one providers providing at least one item associated with thecontext of the online conversation and the goal of the social group;embedding in real-time, in response to receiving the at least one firstbidding from the at least one provider, the at least one first biddingin the data stream of the online conversation, wherein content of the atleast one first bidding is inserted into the discussion thread of theonline conversation inline with the online conversation of the socialgroup; presenting on the user interface of the display device, thediscussion thread in real-time with the inserted at least one firstbidding, selectable elements enabling the participants to respond to theat least one first bidding from the at least one provider, and aselectable element to enable participants to request better biddings;allowing the participants to interact with the selectable elementswithin the discussion thread on the user interface of the display devicein real-time to accept the at least one first bidding, not accept the atleast one first bidding, or request better biddings.
 2. The methodaccording to claim 1, wherein the determining the context of the onlineconversation and the goal of the social group comprises: analyzing, byusing a natural language processing, the online conversation data andthe group profile data.
 3. The method according to claim 1, furthercomprising: receiving at least one second bidding from the at least oneprovider; notifying at least one other providers that the at least oneprovider offered the at least one second bidding, the at least onenotified other providers not including the at least one provider.
 4. Themethod according to claim 3, further comprising: providing anopportunity to the at least one other providers to offer secondbiddings; receiving at least one second bidding from the at least oneother provider; and presenting, in the online conversation, the at leastone first biddings and the at least one second bidding from the at leastone provider and the at least one second bidding from the at least oneother providers who offered the at least one second bidding.
 5. Themethod according to claim 4, further comprising: choosing, by eachparticipant of the social group, one of all the biddings, which includethe at least one first bidding and the at least one second bidding fromthe at least one provider and the at least one other provider;collecting each chosen bidding; determining a bidding, among thecollected chosen biddings, which is chosen by most participants in thesocial group; transmitting, based on the determined bidding, a requestfor a payment for the determined bidding and a coupon associated withthe determined bidding to each participant in the social group.
 6. Themethod according to claim 5, wherein validity of the coupon is subjectto a total number of the participants in the social group.
 7. The methodaccording to claim 6, further comprising: providing each participant ofthe social group with an option to select whether to participate in thereceiving at least one first bidding, the receiving at least one secondbidding, the choosing and the transmitting.
 8. The method according toclaim 3, further comprising: requesting, by at least one of theparticipants in the social group, third biddings from the at least oneproviders.
 9. The method according to claim 1, wherein the aggregationof the online conversation data and the group profile data comprises:data associated with the context of the online conversation; datarepresenting each time and date at which the online conversationoccurred; data representing interests of the social group; dataassociated with social network postings made by at least one of theparticipants in the social group; and data representing a location ofthe at least one participants of the social group.